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Multi-disciplinary vehicle styling optimization: All at once approach for stiffness, lightweight and ergonomics with analytical model based on compartment decomposition

机译:多学科车辆造型优化:全部采用刚度,轻量级和人体工程学的方法,基于隔室分解的分析模型

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The topology optimization made a great success in pure structural design in an actual industrial field. However, a lot of factors interact each other in an actual engineering field in highly complicated manner. The typical conceptual trade-off is that cost and performance, that is, since they are competing factors, one can't improve the specific system without consideration of interaction. The vehicle has lots of competing factors, especially like fuel economy and acceleration performance, mass and stiffness, roominess and cost, short front overhang and crashworthiness and so on. In addition, they interact each other in a more complicated manner, that is, fuel economy has something to do with not only engine performance but also mass, roominess, stiffness, the length of overhang, trunk volume, etc. So, most of decision-makings have been made by management based on subjective knowledge and experience. Especially, since structural and ergonomic parts have been designed separately, a good harmony has not been achieved between two. It is time to expand optimization technique to multi- disciplinary optimization to come up with more accurate decision-making. In this dissertation, the whole optimization model is come up with for higher stiffness, less mass or cost, better styling and ergonomic comfort based on decomposition.
机译:拓扑优化在实际工业领域的纯结构设计方面取得了巨大成功。然而,很多因素以高度复杂的方式在实际工程领域中互相交互。典型的概念权衡是成本和性能,即由于它们是竞争因素,因此在不考虑互动的情况下无法改善特定的系统。车辆有很多竞争因素,特别是燃料经济性和加速性能,质量和刚度,储存和成本短,前突破和耐撞力等。此外,它们以一种更复杂的方式互相互动,即燃油经济性不仅与发动机性能有关,还有块状,储存,刚度,悬垂的长度,中继体积等所以,大多数决定 - 基于主观知识和经验的管理层已经通过了。特别是,由于结构和符合人体工程学的部件是单独设计的,因此两者之间没有实现良好的和谐。是时候扩展优化技术来多学科优化,以更准确的决策。在本文中,整个优化模型提出了更高的刚度,较少的质量或成本,基于分解的更好的造型和符合人体工程学舒适性。

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